Probabilistic-fuzzy knowledge-based system for managerial applications

• Autorzy: Rudnik K. , Walaszek-Babiszewska A.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with an inference system with probabilistic-fuzzy knowledge base as a tool which can help users in analyzing complete uncertainty of real problems in the company using fuzzy sets and probability. In the mentioned system, knowledge is saved in the weighted IFTHEN fuzzy rules, where the weights constitute marginal probabilities of the fuzzy events in the antecedents and conditional probabilities of the fuzzy events in the consequents. Moreover, the paper presents a proposal of the use of fuzzy association rules as a method of automatic knowledge base extraction in the inference system. For this purpose a modification of the PF-Growth algorithm is described. A numerical example is analyzed by using wind speed prediction process. The correct estimation of wind speed, as the potential energy resource, is necessary for control of the wind turbine work and it is important for the localization process of wind turbines, production planning and estimating cost-effectiveness of such investments.

Słowa kluczowe

EN

knowledge-based system; fuzzy system; probability of fuzzy events; fuzzy association rules; manager decision

PL

system kierowniczy; system oparty na wiedzy; system rozmyty

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2012
• Tom: Vol. 3, No. 1
• Strony: 49--61
• Opis fizyczny: Bibliogr. 32 poz., rys., tab., wykr.

Twórcy

autor

Rudnik K.

autor

Walaszek-Babiszewska A.

• Opole University of Technology, Faculty of Production Engineering and Logistics, Institute of Processes and Products Innovation, Ozimska 75, 45-370 Opole, Poland, phone: [phone],

Bibliografia

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